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| author | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2020-04-01 16:51:23 +0100 |
|---|---|---|
| committer | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2020-04-06 09:06:01 +0100 |
| commit | ac2770a4bb6461bfbddec928bb6208f26f898f02 (patch) | |
| tree | c72f67f648b7aca2f4bccf69b05d185bf5f9ccad /src/armnn/layers/PreluLayer.cpp | |
| parent | 7ee5d2c3b3cee5a924ed6347fef613ee07b5aca7 (diff) | |
| download | armnn-ac2770a4bb6461bfbddec928bb6208f26f898f02.tar.gz | |
IVGCVSW-4485 Remove Boost assert
* Change boost assert to armnn assert
* Change include file to armnn assert
* Fix ARMNN_ASSERT_MSG issue with multiple conditions
* Change BOOST_ASSERT to BOOST_TEST where appropriate
* Remove unused include statements
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I5d0fa3a37b7c1c921216de68f0073aa34702c9ff
Diffstat (limited to 'src/armnn/layers/PreluLayer.cpp')
| -rw-r--r-- | src/armnn/layers/PreluLayer.cpp | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/armnn/layers/PreluLayer.cpp b/src/armnn/layers/PreluLayer.cpp index d9e59224a0..609480673b 100644 --- a/src/armnn/layers/PreluLayer.cpp +++ b/src/armnn/layers/PreluLayer.cpp @@ -34,7 +34,7 @@ PreluLayer* PreluLayer::Clone(Graph& graph) const std::vector<TensorShape> PreluLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const { - BOOST_ASSERT(inputShapes.size() == 2); + ARMNN_ASSERT(inputShapes.size() == 2); const TensorShape& inputShape = inputShapes[0]; const TensorShape& alphaShape = inputShapes[1]; @@ -42,8 +42,8 @@ std::vector<TensorShape> PreluLayer::InferOutputShapes(const std::vector<TensorS const unsigned int inputShapeDimensions = inputShape.GetNumDimensions(); const unsigned int alphaShapeDimensions = alphaShape.GetNumDimensions(); - BOOST_ASSERT(inputShapeDimensions > 0); - BOOST_ASSERT(alphaShapeDimensions > 0); + ARMNN_ASSERT(inputShapeDimensions > 0); + ARMNN_ASSERT(alphaShapeDimensions > 0); // The size of the output is the maximum size along each dimension of the input operands, // it starts with the trailing dimensions, and works its way forward @@ -63,7 +63,7 @@ std::vector<TensorShape> PreluLayer::InferOutputShapes(const std::vector<TensorS unsigned int alphaDimension = alphaShape[boost::numeric_cast<unsigned int>(alphaShapeIndex)]; // Check that the inputs are broadcast compatible - BOOST_ASSERT_MSG(inputDimension == alphaDimension || inputDimension == 1 || alphaDimension == 1, + ARMNN_ASSERT_MSG(inputDimension == alphaDimension || inputDimension == 1 || alphaDimension == 1, "PreluLayer: Dimensions should either match or one should be of size 1"); outputShape[outputShapeIndex] = std::max(inputDimension, alphaDimension); @@ -104,7 +104,7 @@ void PreluLayer::ValidateTensorShapesFromInputs() GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape() }); - BOOST_ASSERT(inferredShapes.size() == 1); + ARMNN_ASSERT(inferredShapes.size() == 1); ConditionalThrowIfNotEqual<LayerValidationException>( "PreluLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |